Mahmoud A. Albreem, Markku Juntti, Shahriar Shahabuddin, Saeed Abdallah, Alaa Alhabbash, Eqab Almajali, Data detection based on matrix decomposition for massive MIMO systems in realistic channel scenarios, Physical Communication, Volume 57, 2023, 101982, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2022.101982
Data detection based on matrix decomposition for massive MIMO systems in realistic channel scenarios
|Author:||Albreem, Mahmoud A.1; Juntti, Markku2; Shahabuddin, Shahriar2,3;|
1Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates
2Centre for Wireless Communications, University of Oulu, Finland
3Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA
4Palestinian ICT Research Agency, Gaza, Palestine
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202301162950
|Publish Date:|| 2024-12-31
Massive multiple-input multiple-output (MIMO) is a key technology for modern wireless communication systems. In massive MIMO receivers, data detection is a computationally expensive task. In this paper, we explore the performance and the computational complexity of matrix decomposition based detectors in realistic channel scenarios for different massive MIMO configurations. In addition, data detectors based on decomposition algorithms are compared to the approximate-inversion detection (AID) methods. It is shown that the alternating-direction-method-of-multipliers-based-Infinity-Norm (ADMIN) detection is promising in realistic channel environment and the performance is stable even when the ratio of the base-station (BS) antenna elements to the number of users is small. In addition, this paper studies the performance of several detectors in imperfect channel state information (CSI) and correlated channels. Our work provides valuable insights for massive MIMO systems and very large-scale integration (VLSI) designers to select the appropriate massive MIMO detector based on their specifications.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been financially supported by the Seed Research Project No. 22020403209, University of Sharjah.
© 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license by http://creativecommons.org/licenses/by-nc-nd/4.0/.